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Food Pairing Recommendation System

Design a computer vision system that recommends complementary food or drinks to pair with a given dish.

Scenario: You're building a feature for a restaurant app. Given an image of a dish, the system should suggest complementary items (drinks, sides, desserts) that would pair well with it.

Your Task: Implement a function that returns the system design specification as a structured dictionary. Your design should include:

Image Processing Pipeline - How to preprocess the input image
Feature Extraction - What model/approach to use for understanding the food
Classification/Recognition - How to identify the dish type
Recommendation Engine - How to generate pairing suggestions
Output Format - How results are structured

Evaluation: Your design will be evaluated on completeness, appropriate model choices, and practical feasibility.

Design Mode

📝 Your Design Approach

Describe your system design approach. Consider components, data flow, and key decisions.

🎯 Design Questions(Select all that apply)

Q1.Which components are essential for extracting visual features from food images?

Q2.What database/storage strategies work best for a food pairing recommendation system?

Q3.How should the system handle multiple food items in a single image?

Q4.What's the best approach for generating pairing recommendations?

0 of 4 questions answered

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